DeepL Challenges Google in Comprehensive Translation Race

DeepL Challenges Google in Comprehensive Translation Race

For many years, technology companies have been racing to develop a comprehensive translator that facilitates easy communication between different cultures,
similar to the depictions we see in movies and fictional books.
With the rapid advancements in artificial intelligence, particularly highlighted with the launch of the “ChatGPT” program in 2022, this dream seems closer to reality.

 

Topic

the details

Competition in quality

 

 

 

 

 

 

the details

Alphabet Inc – GOOGL. is a natural contender for developing a comprehensive translator,

especially since Google presented a video last year showcasing glasses capable of providing instant translation.

With other companies like OpenAI offering innovative solutions with the “ChatGPT” program, competition in this field has intensified.

 

Among these ambitious companies, “DeepL,” the German startup based in Cologne, has stood out by securing a funding of one billion euros in January.

“DeepL” plans to launch the first instant voice translator in December, capable of automatically understanding and translating words into written text.
This feature is intended to be added to their application and services.

 

What sets “DeepL” apart from its competitors is its exclusive focus on automatic translation.
Despite working in a narrow niche, the company aims to provide an effective solution.

According to the founder, Jarik Kutilovski, the new translation tool is expected to be present in “every business meeting,” contributing to breaking down language barriers.

 

 

 

 

 

Competition in quality

Competition in quality has also intensified, with the company “Intento” ranking “DeepL” on par with “Google” and “Amazon” in translation quality.
Studies show that “DeepL” has demonstrated better performance in certain areas such as translating educational materials,
healthcare interactions, and financial content, enhancing its position in this growing market.

 

“DeepL” relies on neural networks to improve translation quality, functioning as a “contextual engine” that comprehends entire texts at once.
The company utilizes its own browsing tools to search for online translations and assess their quality, aiding in developing its language models.

 

Despite the challenges and intense competition, Kutilovski believes that “DeepL” can outperform “Google Translate” through focus and precise design.
The era of comprehensive translation is approaching, and companies like “DeepL” are striving to be at the forefront of this exciting technological shift.

 

DeepL Challenges Google in Comprehensive Translation Race